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Senior Systems Software Engineer, Data Center Platform Enablement

NVIDIA· Engineer, Sys SW
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Santa Clara, CA$184k - $356.5kFull-timePosted 4mo ago

About the role

Senior Systems Software Engineer focused on bring up, integration, validation, and troubleshooting for compute tray platforms of GPU racks, collaborating with global architects and hardware teams to ensure servers are fully functional and validated for mass deployment in data centers.

Responsibilities

  • Working with a global team of architects and developers on NVIDIA AI server system designs (CPU, GPU, Memory, NIC, PCIe, NVMe SSD, Cooling, etc.).
  • Influencing hardware system design by reviewing schematics and board design with hardware teams.
  • Using simulation and emulation to accelerate early design and innovate new concepts.
  • Hands-on debug and support of early server prototypes bring-up and power-on test debugging in datacenter labs.
  • Factory and Manufacturing support: support manufacturing flows, firmware updates, and diagnostic procedures; BOM change signoff and process optimization.
  • Issue resolution and customer support: drive root cause analysis and resolution of bring-up failures; collaborate with partners, ODMs, and customers for technical support.
  • Work with design architects to develop diagnostic test tools and automation for qualifying early system software and firmware stacks.

Qualifications

  • Strong experience with computer system and firmware architecture and design for server products; experience with CPLD or FPGA design and RTL.
  • End-to-end delivery experience of high-end enterprise server products from definition to customer deployment.
  • Understanding of low-level interfaces between SBIOS, BMC and OS (I2C/SPI/PCIe/JTAG); system boot and initialization; PCIe enumeration; high speed I/O at platform level for enterprise systems.
  • Experience working with HW teams, ODMs and vendors to introduce and support server platforms; proficiency in C/C++, Bash/Python scripting; hands-on debugging in embedded Linux.
  • Experience using simulation (QEMU) and emulation tools for validation of early design; ability to leverage AI tools to accelerate design and debugging.
  • Excellent written and oral communication skills; strong work ethic, teamwork, quality-focused mindset, and ability to finish tasks.
  • Self-starter with ability to find creative solutions to challenging problems.
  • Bachelor’s Degree or higher in Electrical Engineering or Computer Science (or equivalent) with 8+ years of experience as an individual contributor.

Skills

Required:System bring-up and validation

Benefits

  • Equity
  • Benefits (see NVIDIA benefits page)
Last updated Oct 23, 2026. Interested? Apply on the company site.

About NVIDIA

World Leader in AI Computing

NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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